Deep neural networks for moving object classification in video surveillance applications.
Rania Rebai BoukhrissPublished in: ICMV (2021)
Keyphrases
- video surveillance
- neural network
- pattern recognition
- video sequences
- moving objects
- machine learning
- classification accuracy
- real time
- text classification
- decision trees
- feature extraction
- support vector
- pattern classification
- video frames
- surveillance system
- support vector machine svm
- rule extraction
- moving object detection
- classification method
- unsupervised learning
- fuzzy logic
- genetic algorithm
- multimedia
- artificial neural networks
- human activities
- multi layer perceptron
- video analysis
- image sequences
- feature space
- image classification
- video data
- fuzzy decision trees
- classification algorithm
- model selection
- feature selection
- optical flow
- feature vectors
- motion detection
- dynamic scenes
- detection algorithm
- multilayer perceptron
- back propagation
- neural network model
- event detection
- infrared
- video streams
- training set